M. Payson

970 total citations
25 papers, 703 citations indexed

About

M. Payson is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, M. Payson has authored 25 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Reproductive Medicine, 11 papers in Public Health, Environmental and Occupational Health and 10 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in M. Payson's work include Assisted Reproductive Technology and Twin Pregnancy (10 papers), Uterine Myomas and Treatments (8 papers) and Reproductive Biology and Fertility (8 papers). M. Payson is often cited by papers focused on Assisted Reproductive Technology and Twin Pregnancy (10 papers), Uterine Myomas and Treatments (8 papers) and Reproductive Biology and Fertility (8 papers). M. Payson collaborates with scholars based in United States, Armenia and China. M. Payson's co-authors include James H. Segars, Phyllis C. Leppert, William H. Catherino, Lynnette K. Nieman, Clariss Potlog‐Nahari, Matthew H. Stenmark, Minnie Malik, Rebecca J. Chason, John Gordon and Michael DiMattina and has published in prestigious journals such as Human Reproduction, Fertility and Sterility and Biology of Reproduction.

In The Last Decade

M. Payson

24 papers receiving 684 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Payson United States 15 470 334 207 189 75 25 703
Giulia Mariani Italy 12 362 0.8× 167 0.5× 223 1.1× 95 0.5× 90 1.2× 28 660
A. Romeu Spain 14 359 0.8× 99 0.3× 213 1.0× 95 0.5× 69 0.9× 29 568
Millie A. Behera United States 11 428 0.9× 126 0.4× 394 1.9× 85 0.4× 73 1.0× 19 600
Ronald F. Feinberg United States 13 220 0.5× 254 0.8× 199 1.0× 217 1.1× 59 0.8× 21 646
Ania Kowalik United States 15 518 1.1× 413 1.2× 220 1.1× 136 0.7× 48 0.6× 17 821
Soheila Arefi Iran 14 202 0.4× 135 0.4× 148 0.7× 62 0.3× 47 0.6× 29 480
Louie Ye Australia 13 267 0.6× 468 1.4× 112 0.5× 144 0.8× 159 2.1× 17 762
Jaime Ferro Spain 9 283 0.6× 361 1.1× 149 0.7× 111 0.6× 95 1.3× 11 631
Ram Dgani Israel 12 223 0.5× 243 0.7× 80 0.4× 55 0.3× 36 0.5× 25 478
Antoni Basta Poland 15 158 0.3× 276 0.8× 86 0.4× 63 0.3× 66 0.9× 63 636

Countries citing papers authored by M. Payson

Since Specialization
Citations

This map shows the geographic impact of M. Payson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Payson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Payson more than expected).

Fields of papers citing papers by M. Payson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Payson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Payson. The network helps show where M. Payson may publish in the future.

Co-authorship network of co-authors of M. Payson

This figure shows the co-authorship network connecting the top 25 collaborators of M. Payson. A scholar is included among the top collaborators of M. Payson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Payson. M. Payson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Patounakis, George, Rebecca J. Chason, J.M. Norian, et al.. (2016). Impact of a prior cesarean delivery on embryo transfer: a prospective study. Fertility and Sterility. 106(2). 311–316. 34 indexed citations
2.
Mak, Winifred, et al.. (2016). Natural cycle IVF reduces the risk of low birthweight infants compared with conventional stimulated IVF. Human Reproduction. 31(4). 789–794. 39 indexed citations
3.
Heitmann, Ryan J., Micah J. Hill, Aidita N. James, et al.. (2015). Live births achieved via IVF are increased by improvements in air quality and laboratory environment. Reproductive BioMedicine Online. 31(3). 364–371. 25 indexed citations
4.
Hood, Brian L., Baoquan Liu, Yutaka Shoji, et al.. (2015). Proteomics of the Human Endometrial Glandular Epithelium and Stroma from the Proliferative and Secretory Phases of the Menstrual Cycle1. Biology of Reproduction. 92(4). 106–106. 35 indexed citations
5.
Levy, Gary, et al.. (2014). Falling estradiol levels on day after human chorionic gonadotropin administration in assisted reproductive technology cycles are not predictive of decreasing oocyte maturity or pregnancy rates.. PubMed. 59(5-6). 255–9. 1 indexed citations
6.
DiMattina, Michael, et al.. (2014). Follicular and estradiol parameters that improve success with natural cycle in vitro fertilization.. PubMed. 59(5-6). 267–73. 10 indexed citations
7.
8.
Hill, Micah J., Rebecca J. Chason, M. Payson, James H. Segars, & John M. Csokmay. (2012). GnRH antagonist rescue in high responders at risk for OHSS results in excellent assisted reproduction outcomes. Reproductive BioMedicine Online. 25(3). 284–291. 18 indexed citations
9.
Goldman, Kara N., et al.. (2011). Proficiency in oocyte retrieval: how many procedures are necessary for training?. Fertility and Sterility. 95(7). 2279–2282. 10 indexed citations
10.
Csokmay, John M., Micah J. Hill, Rebecca J. Chason, et al.. (2011). Experience with a patient-friendly, mandatory, single-blastocyst transfer policy: the power of one. Fertility and Sterility. 96(3). 580–584. 14 indexed citations
11.
Csokmay, John M., et al.. (2010). Enough is enough! Patients who do not conceive on 600 IU/d of gonadotropins show no improvement from an additional 150 IU of LH activity. Fertility and Sterility. 95(1). 372–373. 5 indexed citations
12.
Csokmay, John M., et al.. (2010). Are there ethnic differences in pregnancy rates in African-American versus white women undergoing frozen blastocyst transfers?. Fertility and Sterility. 95(1). 89–93. 27 indexed citations
13.
Payson, M., et al.. (2009). The pathophysiology of ovarian hyperstimulation syndrome: an unrecognized compartment syndrome. Fertility and Sterility. 94(4). 1392–1398. 53 indexed citations
14.
Chason, Rebecca J., et al.. (2008). Balloon fluoroscopy as treatment for intrauterine adhesions: a novel approach. Fertility and Sterility. 90(5). 2005.e15–2005.e17. 8 indexed citations
15.
Payson, M., et al.. (2008). Activating transcription factor 3 gene expression suggests that tissue stress plays a role in leiomyoma development. Fertility and Sterility. 92(2). 748–755. 20 indexed citations
16.
Malik, Minnie, et al.. (2008). Curcumin, a nutritional supplement with antineoplastic activity, enhances leiomyoma cell apoptosis and decreases fibronectin expression. Fertility and Sterility. 91(5). 2177–2184. 56 indexed citations
17.
Payson, M., Phyllis C. Leppert, & James H. Segars. (2006). Epidemiology of Myomas. Obstetrics and Gynecology Clinics of North America. 33(1). 1–11. 95 indexed citations
18.
Payson, M., et al.. (2005). Confirmation of Multiple Glycolysis Alterations in Hereditary Leiomyomatosis and Renal Cell Cancer. Fertility and Sterility. 84. S414–S414. 1 indexed citations
19.
Catherino, William H., John C.M. Tsibris, Phyllis C. Leppert, et al.. (2003). Strategy for elucidating differentially expressed genes in leiomyomata identified by microarray technology. Fertility and Sterility. 80(2). 282–290. 44 indexed citations
20.
Catherino, William H., Phyllis C. Leppert, M. Payson, et al.. (2003). Initiators of leiomyoma: differential proto-oncogene expression in small versus large fibroids identified by microarray analysis. Fertility and Sterility. 80. 250–251. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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